Faculty

Applied Sciences

Computer Sciences

Antonio Fabio di Narzo, PhD

Biostatistician and Bioinformatics Consultant

Classes taught at DSTI:
- Foundations of Statistical Analysis and Machine Learning Part 1
- Survival Analysis Using R

Pr Charles Bouveyron

Professor at Université Côte d'Azur, INRIA Chair of Excellence in Data Science & Director of the 3IA Côte d'Azur Institute, 3IA Chair "Core elements of AI"

Classes taught at DSTI:
- Statistical Analysis of Massive and High Dimensional Data
- Big Data Processing with R

Assan Sanogo

Data Scientist
- Datajam.ai

Classes taught at DSTI:
- Python Machine Learning Labs
- Amazon AWS “Cloud-Computing DSTI Chair”

Pr Bénédicte Le Grand

Professor
- Université Paris 1 Panthéon -Sorbonne

Class taught at DSTI:
- Cybersecurity

Christine Malot, PhD

Associate Professor of Mathematics Senior Lecturer - Université Côte d’Azur

Classes taught at DSTI:
- Foundations of Statistical Analysis and Machine Learning Part 2
- Advanced Statistical Analysis and Machine Learning

Pr Didier Auroux

Associate Professor of Mathematics Professor - University of Côte d’Azur

Classes taught at DSTI:
- Applied Mathematics - Continuous Optimisation
- Inverse Problems & Data Assimiliation
- Foundations of Statistics & Machine Learning
- Advanced Statistics & Machine Learning

Catherine Faron, PhD

Associate Professor - Université Côte d’Azur

Classes taught at DSTI:
- Semantic Web technologies
- Data Pipeline Part 1

Clément Ziane

Software Engineer

Classes taught at DSTI:
- DSTI Warm Up
- Software Engineering Part 1
- Java & Scala programming
- Cloud Computing - Microsoft Azure
- Document Databases : NoSQL Part 2

Fabien Gandon, PhD

Research Director and Deputy Scientific Delegate of INRIA Sophia-Antipolis 3IA Chair "Core elements of AI"

Class taught at DSTI:
- Semantic Web technologies

Georgiy Bobashev, PhD

Fellow Data Science

Class taught at DSTI:
- Agent-Based Modelling

David Worms

Founder & CEO - Adaltas

Classes taught at DSTI:
- The Hadoop Ecosystem
- DevOps & Continuous Integration

Dominique Mariko

Lead Data Scientist - Yseop

Classes taught by DSTI:
- DSTI Warm Up
- Advanced Excel for Data Analytics & Machine Learning

Grégoire de Lassence

Head of Education & Research - SAS

Class taught at DSTI:
- Data & Machine Learning Visualisation Ecosystem

Pr Jacques Blum

Emeritus Professor of Mathematics - Université Côte d’Azur

Classes taught at DSTI:
- Continuous Optimisation
- Inverse Problems & Data Assimiliation
- Applied Mathematics

Emerick Duval

Business Intelligence Consultant - Freelance

Classes taught at DSTI:
- Data Wrangling with SQL
- Datawarehousing & ETL
- Reporting & Visualisation

Fabien Massol

Head of SGB Security - Amadeus IT

Class taught at DSTI:
- IT Project Management: PMP-PMI and Agile Approaches

Jean-François Derenty

Senior Expert Consultant in SAS

Class taught at DSTI:
- SAS "The SAS Ecosystem DSTI Chair"

Pr Julien Jacques

Professor in Statistics - Lumière Lyon 2 University

Classes taught at DSTI:
- Time-Series Analysis
- Advanced Statistics & Machine Learning

Jean-Luc Canela

Technology Lead - AXA

Class taught at DSTI:
- Data Pipeline Part 2

Jérôme Baton

Software Developer & Architect

Class taught at DSTI:
- Graph Databases with NoSQL

Pr Lionel Fillatre

Professor - Université Côte d’Azur

Class taught at DSTI:
- Deep Learning

Pr Marina Teller

Director of the Chair of Scientific Excellence in Economic Law & AI DL4T @ Université Côte d’Azur, Professor in Private Law, Law & AI @ GREDEG-CNRA, Université Côte d’Azur

Class taught at DSTI:
- Data Laws & Regulations, Philosophies, Geopolitics & Ethics